Sentence Embeddings and Dense Retrieval
39 repos
Dense vector embeddings for semantic search, similarity matching, and retrieval-augmented generation. This cluster centers on transformer-based sentence encoders (particularly the BGE and GTE model families) and their integration with embedding evaluation benchmarks (MTEB) and deployment infrastructure. Repositories here focus on creating, fine-tuning, and serving dense retrievers that power semantic search systems, with emphasis on model standardization through formats like Safetensors and endpoint compatibility standards.
model-index ·6,605
mteb ·6,560
safetensors ·6,544
endpoints_compatible ·6,504
text-embeddings-inference ·6,182
sentence-transformers ·6,131
feature-extraction ·5,724
en ·4,939
transformers ·4,926
sentence-similarity ·4,828
